Trusted outdoor multi-camera tracking system powered by FPGA

Computer vision has become a crucial area of research due to the increasing use of electronics, information technology, and network communication. Adding more algorithms to the process of locating text, faces, vehicles, and other moving objects can improve the effectiveness of the search when compared to a "ground truth" reference. This work aims to track a moving object as it passes through the fields of view of multiple outdoor cameras. Both the temporal difference algorithm and the fixed background algorithm have been used in the search process for objects in a video with a frame dimension of 120 by 160 pixels. The FPGA panel used in the system was the Xilinx Spartan-6 LX45T. This method can speed up the overall process because it does not require the objects to be registered first. The proposed approach is highly resistant to object orientation and robust, with an error rate of less than (0.05), resulting in the best possible results in terms of global recognition. Consequently, it attains exceptional global recognition results while maintaining its reliable performance.